| Comparing the behavior of oversampling and undersampling approach of class imbalance learning by combining class imbalance problem with noise P Kaur, A Gosain ICT Based Innovations: Proceedings of CSI 2015, 23-30, 2018 | 140 | 2018 |
| Robust kernelized approach to clustering by incorporating new distance measure P Kaur, AK Soni, A Gosain Engineering Applications of Artificial Intelligence 26 (2), 833-847, 2013 | 42 | 2013 |
| Intuitionistic fuzzy sets based credibilistic fuzzy C-means clustering for medical image segmentation P Kaur International journal of information technology 9 (4), 345-351, 2017 | 34 | 2017 |
| Melanoma skin cancer detection using image processing N Garg, V Sharma, P Kaur Sensors and Image Processing: Proceedings of CSI 2015, 111-119, 2018 | 32 | 2018 |
| Spam detection on Twitter: A survey P Kaur, A Singhal, J Kaur 2016 3rd international conference on computing for sustainable global …, 2016 | 30 | 2016 |
| A density oriented fuzzy c-means clustering algorithm for recognising original cluster shapes from noisy data P Kaur, A Gosain International Journal of Innovative Computing and Applications 3 (2), 77-87, 2011 | 29 | 2011 |
| Issues and challenges of class imbalance problem in classification P Kaur, A Gosain International Journal of Information Technology 14 (1), 539-545, 2018 | 26* | 2018 |
| Novel intuitionistic fuzzy c-means clustering for linearly and nonlinearly separable data P Kaur, AK Soni, A Gosain, II India WSEAS Trans Comput 11 (3), 65-76, 2012 | 26 | 2012 |
| Review and comparison of kernel based fuzzy image segmentation techniques P Kaur, P Gupta, P Sharma International Journal of Intelligent Systems and Applications 4 (7), 50, 2012 | 26 | 2012 |
| A novel fuzzy approach for segmenting medical images P Kaur, T Chaira Soft Computing, 1-11, 2020, 2021 | 25 | 2021 |
| Robust Intuitionistic Fuzzy C-means clustering for linearly and nonlinearly separable data P Kaur, AK Soni, A Gosain 2011 international conference on image information processing, 1-6, 2011 | 25 | 2011 |
| FF-SMOTE: A Metaheuristic Approach to Combat Class Imbalance in Binary Classification P Kaur, A Gosain Applied Artificial Intelligence, 420-439, 2019 | 24 | 2019 |
| Kernelized type-2 fuzzy c-means clustering algorithm in segmentation of noisy medical images P Kaur, IMS Lamba, A Gosain 2011 IEEE Recent Advances in Intelligent Computational Systems, 493-498, 2011 | 23 | 2011 |
| Density-oriented approach to identify outliers and get noiseless clusters in Fuzzy C—Means P Kaur, A Gosain International Conference on Fuzzy Systems, 1-8, 2010 | 20 | 2010 |
| Platelet count using image processing P Kaur, V Sharma, N Garg 2016 3rd International conference on computing for sustainable global …, 2016 | 18 | 2016 |
| GT2FS-SMOTE: An Intelligent Oversampling Approach Based Upon General Type-2 Fuzzy Sets to Detect Web Spam P Kaur, A Gosain Arabian Journal of Science and Engineering, 1-18, 2020, 2021 | 16 | 2021 |
| Robust hybrid data-level sampling approach to handle imbalanced data during classification P Kaur, A Gosain Soft Computing 24 (20), 15715-15732, 2020 | 15 | 2020 |
| Fuzzy clustering‐based image segmentation techniques used to segment magnetic resonance imaging/computed tomography scan brain tissues: Comparative analysis P Kaur, P Sharma, A Palmia International Journal of Imaging Systems and Technology 30 (4), pp. 1294 …, 2020 | 14 | 2020 |
| Image segmentation of noisy digital images using extended fuzzy C–means clustering algorithm P Kaur, AK Soni, A Gosain International journal of computer applications in technology 47 (2-3), 198-205, 2013 | 14 | 2013 |
| Touch-less Fingerprint Analysis--A Review and Comparison P Kaur, A Jain, S Mittal International Journal of Intelligent Systems and Applications 4 (6), 46, 2012 | 14 | 2012 |
Anjana GosainUSICT, GGS Indraprastha UniversityVerified email at ipu.ac.in
